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Proceedings Paper

Compression of digital holograms for three-dimensional object recognition
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Paper Abstract

In this paper we present the results of applying data compression to a three-dimensional object recognition technique based on phase-shift digital holography. Industry-standard lossless data compression algorithms were first applied. Next, lossy techniques based on subsampling, discrete cosine transformation, and discrete Fourier transformation were examined. We used normalized cross-correlation in the object plane as our performance metric. For each hologram tested, we found that as many as 90% of the cosine and Fourier components could be removed, without significant loss in correlation performance.

Paper Details

Date Published: 13 November 2001
PDF: 10 pages
Proc. SPIE 4471, Algorithms and Systems for Optical Information Processing V, (13 November 2001); doi: 10.1117/12.449353
Show Author Affiliations
Thomas J. Naughton, National Univ. of Ireland/Maynooth and Univ. of Connecticut (Ireland)
Yann Frauel, Univ. of Connecticut (Mexico)
Bahram Javidi, Univ. of Connecticut (United States)
Enrique Tajahuerce, Univ. Jaume I (Spain)

Published in SPIE Proceedings Vol. 4471:
Algorithms and Systems for Optical Information Processing V
Bahram Javidi; Demetri Psaltis, Editor(s)

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